io.bfscan.clueweb12.MergeTermStatistics.java Source code

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Here is the source code for io.bfscan.clueweb12.MergeTermStatistics.java

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/*
 * ClueWeb Tools: Hadoop tools for manipulating ClueWeb collections
 *
 * Licensed under the Apache License, Version 2.0 (the "License"); you
 * may not use this file except in compliance with the License. You may
 * obtain a copy of the License at
 *
 * http://www.apache.org/licenses/LICENSE-2.0
 *
 * Unless required by applicable law or agreed to in writing, software
 * distributed under the License is distributed on an "AS IS" BASIS,
 * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or
 * implied. See the License for the specific language governing
 * permissions and limitations under the License.
 */

package io.bfscan.clueweb12;

import java.io.IOException;
import java.util.Arrays;

import org.apache.commons.cli.CommandLine;
import org.apache.commons.cli.CommandLineParser;
import org.apache.commons.cli.GnuParser;
import org.apache.commons.cli.HelpFormatter;
import org.apache.commons.cli.OptionBuilder;
import org.apache.commons.cli.Options;
import org.apache.commons.cli.ParseException;
import org.apache.hadoop.conf.Configured;
import org.apache.hadoop.fs.FileSystem;
import org.apache.hadoop.fs.Path;
import org.apache.hadoop.io.Text;
import org.apache.hadoop.mapreduce.Job;
import org.apache.hadoop.mapreduce.Reducer;
import org.apache.hadoop.mapreduce.lib.input.FileInputFormat;
import org.apache.hadoop.mapreduce.lib.input.SequenceFileInputFormat;
import org.apache.hadoop.mapreduce.lib.output.FileOutputFormat;
import org.apache.hadoop.mapreduce.lib.output.SequenceFileOutputFormat;
import org.apache.hadoop.util.Tool;
import org.apache.hadoop.util.ToolRunner;
import org.apache.log4j.Logger;

import tl.lin.data.pair.PairOfIntLong;

public class MergeTermStatistics extends Configured implements Tool {
    private static final Logger LOG = Logger.getLogger(MergeTermStatistics.class);

    private static final String HADOOP_DF_MIN_OPTION = "df.min";
    private static final String HADOOP_DF_MAX_OPTION = "df.max";

    private static final int MIN_DF_DEFAULT = 100; // Throw away terms with df less than this.

    private static class MyCombiner extends Reducer<Text, PairOfIntLong, Text, PairOfIntLong> {
        private static final PairOfIntLong output = new PairOfIntLong();

        @Override
        public void reduce(Text key, Iterable<PairOfIntLong> values, Context context)
                throws IOException, InterruptedException {
            int df = 0;
            long cf = 0;
            for (PairOfIntLong pair : values) {
                df += pair.getLeftElement();
                cf += pair.getRightElement();
            }

            output.set(df, cf);
            context.write(key, output);
        }
    }

    private static class MyReducer extends Reducer<Text, PairOfIntLong, Text, PairOfIntLong> {
        private static final PairOfIntLong output = new PairOfIntLong();
        private int dfMin, dfMax;

        @Override
        public void setup(Reducer<Text, PairOfIntLong, Text, PairOfIntLong>.Context context) {
            dfMin = context.getConfiguration().getInt(HADOOP_DF_MIN_OPTION, MIN_DF_DEFAULT);
            dfMax = context.getConfiguration().getInt(HADOOP_DF_MAX_OPTION, Integer.MAX_VALUE);
            LOG.info("dfMin = " + dfMin);
        }

        @Override
        public void reduce(Text key, Iterable<PairOfIntLong> values, Context context)
                throws IOException, InterruptedException {
            int df = 0;
            long cf = 0;
            for (PairOfIntLong pair : values) {
                df += pair.getLeftElement();
                cf += pair.getRightElement();
            }
            if (df < dfMin || df > dfMax) {
                return;
            }
            output.set(df, cf);
            context.write(key, output);
        }
    }

    public static final String INPUT_OPTION = "input";
    public static final String OUTPUT_OPTION = "output";
    public static final String DF_MIN_OPTION = "dfMin";

    /**
     * Runs this tool.
     */
    @SuppressWarnings("static-access")
    public int run(String[] args) throws Exception {
        Options options = new Options();

        options.addOption(
                OptionBuilder.withArgName("path").hasArg().withDescription("input path").create(INPUT_OPTION));
        options.addOption(
                OptionBuilder.withArgName("path").hasArg().withDescription("output path").create(OUTPUT_OPTION));
        options.addOption(
                OptionBuilder.withArgName("num").hasArg().withDescription("minimum df").create(DF_MIN_OPTION));

        CommandLine cmdline;
        CommandLineParser parser = new GnuParser();
        try {
            cmdline = parser.parse(options, args);
        } catch (ParseException exp) {
            HelpFormatter formatter = new HelpFormatter();
            formatter.printHelp(this.getClass().getName(), options);
            ToolRunner.printGenericCommandUsage(System.out);
            System.err.println("Error parsing command line: " + exp.getMessage());
            return -1;
        }

        if (!cmdline.hasOption(INPUT_OPTION) || !cmdline.hasOption(OUTPUT_OPTION)) {
            HelpFormatter formatter = new HelpFormatter();
            formatter.printHelp(this.getClass().getName(), options);
            ToolRunner.printGenericCommandUsage(System.out);
            return -1;
        }

        String input = cmdline.getOptionValue(INPUT_OPTION);
        String output = cmdline.getOptionValue(OUTPUT_OPTION);

        LOG.info("Tool name: " + MergeTermStatistics.class.getSimpleName());
        LOG.info(" - input: " + input);
        LOG.info(" - output: " + output);

        Job job = new Job(getConf(), MergeTermStatistics.class.getSimpleName() + ":" + input);
        job.setJarByClass(MergeTermStatistics.class);

        job.setNumReduceTasks(100);

        if (cmdline.hasOption(DF_MIN_OPTION)) {
            int dfMin = Integer.parseInt(cmdline.getOptionValue(DF_MIN_OPTION));
            LOG.info(" - dfMin: " + dfMin);
            job.getConfiguration().setInt(HADOOP_DF_MIN_OPTION, dfMin);
        }

        FileInputFormat.setInputPaths(job, input);
        FileOutputFormat.setOutputPath(job, new Path(output));

        job.setInputFormatClass(SequenceFileInputFormat.class);
        job.setOutputFormatClass(SequenceFileOutputFormat.class);

        job.setMapOutputKeyClass(Text.class);
        job.setMapOutputValueClass(PairOfIntLong.class);
        job.setOutputKeyClass(Text.class);
        job.setOutputValueClass(PairOfIntLong.class);

        job.setCombinerClass(MyCombiner.class);
        job.setReducerClass(MyReducer.class);

        FileSystem.get(getConf()).delete(new Path(output), true);

        long startTime = System.currentTimeMillis();
        job.waitForCompletion(true);
        LOG.info("Job Finished in " + (System.currentTimeMillis() - startTime) / 1000.0 + " seconds");

        return 0;
    }

    /**
     * Dispatches command-line arguments to the tool via the <code>ToolRunner</code>.
     */
    public static void main(String[] args) throws Exception {
        LOG.info("Running " + MergeTermStatistics.class.getCanonicalName() + " with args " + Arrays.toString(args));
        ToolRunner.run(new MergeTermStatistics(), args);
    }
}